aipythonsqletldata modelinga b testingforecastingstartupdata analytics
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$155к-220к/год
$110к$140кмедиана$170к
По похожим ролям (49) ~ $140к/год
На СНГ рынке: $3.3к/мес ($2.2к - $3.6к)
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Крутая вакансия
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Это понятная роль в продуктовой data science в хорошо профинансированном стартапе в сфере аудио-ИИ, хотя быстрый темп и ответственность за весь цикл могут означать высокую нагрузку.
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Широкая зона ответственностиСовременные технологииБыстрорастущий сектор
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI): Turning business, product, and operations data into decisions, metrics, experimentation frameworks, and reliable data foundations with an accent on cross-functional problem solving, A/B testing, and trustworthy data models. Focus on designing ETL pipelines, defining company-wide metrics, analyzing experiments, and building forecasting and modeling solutions for an audio AI data company.
Location: Onsite in San Francisco or New York City, United States
Salary: $155K–$220K per year
Company
hirify.global is an audio data research company developing high-quality datasets for AI labs and companies. Founded in 2024 by former Scale AI engineers and operators, the company serves FAANG companies and AI labs and has raised a $50M Series B.
What you will do
Identify high-leverage business problems with cross-functional partners and drive them to resolution.
Use data to form recommendations, shape priorities, and influence the roadmap.
Define core business, product, and operations metrics and maintain the company-wide data dictionary.
Own A/B experiments from hypothesis and test design through analysis and ship decisions.
Design and build reliable ETL pipelines and data models with trustworthy documentation.
Perform experimentation, deep-dive analysis, forecasting, dashboarding, and modeling.
Requirements
3+ years of experience working on a cross-functional team as a product Data Scientist.
Experience turning ambiguous problems into clear recommendations.
Experience working in a fast-paced environment while owning work end-to-end.
Proficiency with AI coding tools and agentic workflows.
Strong SQL and Python skills for validating AI coding tool output.
Nice to have
Hands-on experience building and maintaining ETL pipelines and data models, including tools such as dbt, Airflow, or Dagster.
Experience defining company-wide metrics, building a data dictionary, or establishing analytics governance.
Experience with audio data, data research companies, or LALM evaluations.
Culture & Benefits
Work in a fast-moving, end-to-end ownership environment.
Collaborate closely with product, engineering, research, operations, and go-to-market teams.
Join a sharp, humble, ambitious, and tight-knit team focused on advancing audio AI.
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